A review of machine learning and deep learning approaches on mental health diagnosis

HIGHLIGHTS

• who: Ngumimi Karen Iyortsuun and collaborators from the Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, Republic of Korea have published the research work: A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis, in the Journal: Healthcare 2023, x of /2023/
• what: This approach has the potential to provide continuous monitoring of mental health status and enable the early detection of potential issues. The dataset used in this study also had imbalanced data; therefore, different resampling approaches were implemented to address this issue. All the articles which implemented DL methods . . .
  

   

  

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